In this paper, we investigate the incentive problem in Spatial Crowdsourcing (SC), where
mobile social-aware workers have unknown qualities and can share their answers to tasks …

Mobile crowdsensing (MCS) uses ubiquitous smart devices and network access technology
to migrate sensing tasks from a centralized platform to a distributed computing terminal …

Mobile crowdsensing technologies augment the collective effort on exploiting data from a
large crowd of mobile users in ubiquitous environments. When mobile users partake in …

With the increase of on-board sensors, as a new paradigm of mobile crowdsensing (MCS),
vehicular crowdsensing (VCS) shows great potential in realizing low-cost, large-scale …

With the wide adoption of unmanned aerial vehicles (UAVs) in our daily life, using UAVs to
collect sensing data from the surrounding environment has become a practice. Notably …

With the continuous improvement of the sensing, transmission, storage, and computing
capabilities of mobile devices, they have become important tools for perceiving the physical …

In mobile crowdsensing, many mobile devices are collectively used to complete complex
sensing tasks. Most tasks require users to consume resources to ensure continuous …

Unmanned aerial vehicles (UAVs) combining with crowdsensing technology has been
viewed as a promising paradigm for performing sensing tasks in extreme scenarios such as …

We study the design of incentive mechanisms for the problem of information elicitation
without verification (IEWV). In IEWV, a data requester seeks to design proper incentives to …

By opportunistically engaging mobile users (workers), mobile crowdsensing (MCS) networks
have emerged as important approach to facilitate sharing of sensed/gathered data of …